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Seddik Bri, Seddik
Materials and Instrumentation (MIN), High School of Technology, Moulay Ismail University, Meknes, Morocco.
Computer Science & IT Electrical & Electronics Engineering

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Improvements the direct torque control performance for an induction machine using fuzzy logic controller Gouaamar, Radouan; Bri, Seddik; Mekrini, Zineb
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp1-11

Abstract

This article examines a solution to the major problems of induction machine control in order to achieve superior dynamic performance. Conventional direct torque control and indirect control with flux orientation have some drawbacks, such as current harmonics, torque ripples, flux ripples, and rise time. In this article, we propose a comparative analysis between previous approaches and the one using fuzzy logic. Results from the simulation show that the direct torque control method using fuzzy logic is more effective in providing a precise and fast response without overshooting, and it eliminates torque and flux fluctuations at low switching frequencies. The demonstrated improvements in dynamic performance contribute to increased operational efficiency and reliability in industrial applications.
Co-Authors Gouaamar, Radouan Mekrini, Zineb